Numerical Simulation and Analysis of Fish-Like Robots Swarm

Artificial fish-like robot is an important branch of underwater robot research. At present, most of fish-like robot research focuses on single robot mechanism behavior, some research pays attention to the influence of the hydro-environment on robot crowds but does not reach a unified conclusion on t...

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Main Authors: Shuman Li, Chao Li, Liyang Xu, Wenjing Yang, Xucan Chen
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/9/8/1652
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spelling doaj-0bb56f8bc1d94a148509e043f354058d2020-11-24T20:42:09ZengMDPI AGApplied Sciences2076-34172019-04-0198165210.3390/app9081652app9081652Numerical Simulation and Analysis of Fish-Like Robots SwarmShuman Li0Chao Li1Liyang Xu2Wenjing Yang3Xucan Chen4State Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, Changsha 410073, ChinaState Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, Changsha 410073, ChinaState Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, Changsha 410073, ChinaState Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, Changsha 410073, ChinaNational Innovation Institute of Defense Technology (NIIDT), Beijing 100060, ChinaArtificial fish-like robot is an important branch of underwater robot research. At present, most of fish-like robot research focuses on single robot mechanism behavior, some research pays attention to the influence of the hydro-environment on robot crowds but does not reach a unified conclusion on the efficiency of fish-like robots swarm. In this work, the fish-like robots swarm is studied by numerical simulation. Four different formations, including the tandem, the phalanx, the diamond, and the rectangle are conducted by changing the spacing between fishes. The results show that at close spacing, the fish in the back can obtain a large wake from the front fish, but suffers large lateral power loss from the lateral fish. On the contrary, when the spacing is large, both the wake and pressure caused by the front and side fishes become small. In terms of the average swimming efficiency of fish swarms, we find that when the fish spacing is less than <inline-formula> <math display="inline"> <semantics> <mrow> <mn>1.25</mn> <mi>L</mi> </mrow> </semantics> </math> </inline-formula> (<i>L</i> is the length of the fish body), the tandem swarm is the best choice. When the spacing is <inline-formula> <math display="inline"> <semantics> <mrow> <mn>1.25</mn> <mi>L</mi> </mrow> </semantics> </math> </inline-formula>, the tandem, diamond and rectangle swarms have similar efficiency. When the spacing is larger than <inline-formula> <math display="inline"> <semantics> <mrow> <mn>1.25</mn> <mi>L</mi> </mrow> </semantics> </math> </inline-formula>, the rectangle swarm is more efficient than other formations. The findings will provide significant guidance for the control of fish-like robots swarm.https://www.mdpi.com/2076-3417/9/8/1652fish schoolinghydrodynamicsswimming efficiencyrobots swarmrobot controlling
collection DOAJ
language English
format Article
sources DOAJ
author Shuman Li
Chao Li
Liyang Xu
Wenjing Yang
Xucan Chen
spellingShingle Shuman Li
Chao Li
Liyang Xu
Wenjing Yang
Xucan Chen
Numerical Simulation and Analysis of Fish-Like Robots Swarm
Applied Sciences
fish schooling
hydrodynamics
swimming efficiency
robots swarm
robot controlling
author_facet Shuman Li
Chao Li
Liyang Xu
Wenjing Yang
Xucan Chen
author_sort Shuman Li
title Numerical Simulation and Analysis of Fish-Like Robots Swarm
title_short Numerical Simulation and Analysis of Fish-Like Robots Swarm
title_full Numerical Simulation and Analysis of Fish-Like Robots Swarm
title_fullStr Numerical Simulation and Analysis of Fish-Like Robots Swarm
title_full_unstemmed Numerical Simulation and Analysis of Fish-Like Robots Swarm
title_sort numerical simulation and analysis of fish-like robots swarm
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2019-04-01
description Artificial fish-like robot is an important branch of underwater robot research. At present, most of fish-like robot research focuses on single robot mechanism behavior, some research pays attention to the influence of the hydro-environment on robot crowds but does not reach a unified conclusion on the efficiency of fish-like robots swarm. In this work, the fish-like robots swarm is studied by numerical simulation. Four different formations, including the tandem, the phalanx, the diamond, and the rectangle are conducted by changing the spacing between fishes. The results show that at close spacing, the fish in the back can obtain a large wake from the front fish, but suffers large lateral power loss from the lateral fish. On the contrary, when the spacing is large, both the wake and pressure caused by the front and side fishes become small. In terms of the average swimming efficiency of fish swarms, we find that when the fish spacing is less than <inline-formula> <math display="inline"> <semantics> <mrow> <mn>1.25</mn> <mi>L</mi> </mrow> </semantics> </math> </inline-formula> (<i>L</i> is the length of the fish body), the tandem swarm is the best choice. When the spacing is <inline-formula> <math display="inline"> <semantics> <mrow> <mn>1.25</mn> <mi>L</mi> </mrow> </semantics> </math> </inline-formula>, the tandem, diamond and rectangle swarms have similar efficiency. When the spacing is larger than <inline-formula> <math display="inline"> <semantics> <mrow> <mn>1.25</mn> <mi>L</mi> </mrow> </semantics> </math> </inline-formula>, the rectangle swarm is more efficient than other formations. The findings will provide significant guidance for the control of fish-like robots swarm.
topic fish schooling
hydrodynamics
swimming efficiency
robots swarm
robot controlling
url https://www.mdpi.com/2076-3417/9/8/1652
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AT chaoli numericalsimulationandanalysisoffishlikerobotsswarm
AT liyangxu numericalsimulationandanalysisoffishlikerobotsswarm
AT wenjingyang numericalsimulationandanalysisoffishlikerobotsswarm
AT xucanchen numericalsimulationandanalysisoffishlikerobotsswarm
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